The present invention relates to a method for acquiring an object information, the method comprising: obtaining an input image acquired by capturing a sea; obtaining a noise level of the input image; when the noise level indicates a noise lower than a predetermined level, acquiring an object information related to an obstacle included in the input image from the input image by using a first artificial neural network, and when the noise level indicates a noise higher than the predetermined level, obtaining a noise-reduced image of which the environmental noise is reduced from the input image by using a second artificial neural network, and acquiring an object information related to an obstacle included in the sea from the noise-reduced image by using the first artificial neural network.

The present invention relates to a method for acquiring an object information, the method comprising: obtaining an input image acquired by capturing a sea; obtaining a noise level of the input image; when the noise level indicates a noise lower than a predetermined level, acquiring an object information related to an obstacle included in the input image from the input image by using a first artificial neural network, and when the noise level indicates a noise higher than the predetermined level, obtaining a noise-reduced image of which the environmental noise is reduced from the input image by using a second artificial neural network, and acquiring an object information related to an obstacle included in the sea from the noise-reduced image by using the first artificial neural network.

A method for determining the authenticity of an item, the method comprising: receiving, by an item, a seed; storing the seed in a block of non-volatile memory in the supply item follower component; calculating, by the item follower component, an output of a cryptographic function with the input based on the seed and storing the output in the block of non-volatile memory; iteratively calculating, by the item, the outputs of the cryptographic function wherein for each iteration the input for the cryptographic function is based on the seed and all previous outputs, and for each iteration storing the output in the block of non-volatile memory; and determining the authenticity of the item based on a selected output of the cryptographic function of the item, the selected output being one of the outputs stored in the block of non-volatile memory.

Exemplary embodiments are directed to a method and apparatus for training a smart device to recognize events in an indoor or outdoor venue. The smart device can execute program code for generating a specialized user interface. The smart device can record a target event in the venue or control another smart device to record the target event. The smart device can process the recording of the target event to generate an event signature. A unique tag for the recorded event can be generated, and the event signature and the unique tag can be transmitted to cloud storage. The smart device can receive event recordings from other smart devices in the venue and compare the event recordings to the event signatures in cloud storage. The smart device can generate at least one user or device prompt regarding the target event when the event recording matches an event signature.

A glasses-type wearable device providing an augmented reality guide and a method for controlling the same is provided. The glasses-type wearable device includes a communication circuit, a camera, and a processor configured to receive a second surrounding-image of an external electronic device connected with the glasses-type wearable device from the external electronic device through the communication module while obtaining a first surrounding-image of the glasses-type wearable device using the camera, identify a first task being performed by a user of the glasses-type wearable device using the first surrounding-image and a second task being performed by a user of the external electronic device using the second surrounding-image, identify a difference between a current progress status of the first task and second task, and control the communication circuit to provide an AR guide corresponding to the second task to the external electronic device, based on the identified difference in progress status.

This disclosure describes techniques for authenticating a user. For instance, a system may initially generate and then store authentication data for later authenticating the user. The authentication data may include biometrics data (e.g., facial recognition data), credentials data (e.g., a username, password, etc.), and/or environmental data (e.g., object(s) located within an environment). Later, the system may receive image data generated by a user device of the user. In some examples, the system may then analyze the image data using one or more facial recognition techniques in order to identify the user. The system may then use the authentication data, such as the environmental data, to determine that the image data further represents the object(s). Based on determining that the image data further represents the object(s), the system may then verify the user for access to a resource.

System and method for verification and/or reconciliation of electronic transactions, such as for example, toll transactions or other purchase transactions. A vehicle utilizes an onboard communication device, such as a mobile phone, to locate virtual tolling points using GPS location, and then to communicate to an electronic tolling service provider that the vehicle has passed through the virtual tolling point. In addition, roadside equipment may be used to capture photo/video of the vehicle as it passes the virtual tolling point. The GPS-based toll transaction data is used in conjunction with the photo-based toll transaction data to verify a proper toll transaction, and optionally to reconcile between missing and/or inconsistent GPS-based and photo-based toll transaction data.

System and method for verification and/or reconciliation of electronic transactions, such as for example, toll transactions or other purchase transactions. A vehicle utilizes an onboard communication device, such as a mobile phone, to locate virtual tolling points using GPS location, and then to communicate to an electronic tolling service provider that the vehicle has passed through the virtual tolling point. In addition, roadside equipment may be used to capture photo/video of the vehicle as it passes the virtual tolling point. The GPS-based toll transaction data is used in conjunction with the photo-based toll transaction data to verify a proper toll transaction, and optionally to reconcile between missing and/or inconsistent GPS-based and photo-based toll transaction data.

A server apparatus includes a controller configured to detect an item to be purchased, based on a temporal change in captured images of an item display position at a mobile shop and, upon acquiring authentication information for a purchaser from a first terminal apparatus, perform a charging process in respect of the purchaser for a price of the item.

A server apparatus includes a controller configured to detect an item to be purchased, based on a temporal change in captured images of an item display position at a mobile shop and, upon acquiring authentication information for a purchaser from a first terminal apparatus, perform a charging process in respect of the purchaser for a price of the item.